Title

Image Processing – I: HD tele-medical image compression for on-line decision

Abstract/Description

Telemedicine is a rising technology of applied medical sciences through which patients medical reports can be transmitted and stored for references and consultations. Medical treatment in Pakistan still requires immense improvement as incorrect diagnosis and treatment, has resulted in the distorting the patient for life or death. First aid system in our country is unbelievably bad, and many lives could be saved if proper first aid diagnosis and treatment is provided in the first two hours. In this paper we are trying to bridge the three main constituents i.e. Physician, First Aid workers and Patient, this would especially enable remote location first aid attendants, to provide treatment as per Physician's directives. We have developed an image compression algorithm that will reduce the original size of an image, providing a guide for Physician with the aid of X-Ray, MRI, CT Scan or ECG images etc, of patients whose lives are in critical condition at remote locations or in ambulances, mainly due to natural disasters or accidents. Such victims need immediate treatment and a verbal discussion is not sufficient, images are required on urgent basis. Our results have indicated that on an average 25% image compression has been achieved with 3.5 MOS taken from ultimate user's i.e. medical doctors and other paramedical staff.

Location

Room C4

Session Theme

Image Processing – I

Session Type

Other

Session Chair

Dr. Sharifullah Khan

Start Date

24-7-2011 1:45 PM

End Date

24-7-2011 2:00 PM

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Jul 24th, 1:45 PM Jul 24th, 2:00 PM

Image Processing – I: HD tele-medical image compression for on-line decision

Room C4

Telemedicine is a rising technology of applied medical sciences through which patients medical reports can be transmitted and stored for references and consultations. Medical treatment in Pakistan still requires immense improvement as incorrect diagnosis and treatment, has resulted in the distorting the patient for life or death. First aid system in our country is unbelievably bad, and many lives could be saved if proper first aid diagnosis and treatment is provided in the first two hours. In this paper we are trying to bridge the three main constituents i.e. Physician, First Aid workers and Patient, this would especially enable remote location first aid attendants, to provide treatment as per Physician's directives. We have developed an image compression algorithm that will reduce the original size of an image, providing a guide for Physician with the aid of X-Ray, MRI, CT Scan or ECG images etc, of patients whose lives are in critical condition at remote locations or in ambulances, mainly due to natural disasters or accidents. Such victims need immediate treatment and a verbal discussion is not sufficient, images are required on urgent basis. Our results have indicated that on an average 25% image compression has been achieved with 3.5 MOS taken from ultimate user's i.e. medical doctors and other paramedical staff.